Based on the 1/2 automobile nonlinear model and the diagonally recurrent neural network model, an automobile semi-active suspension system using neural network control and simulation is established. An off-line identification is proceeded on this model using an optimal control. Neural control and simulation are also performed on this model and the simulative results are analyzed and summarized.


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    Title :

    An automobile semi-active suspension system using neural network control and simulation


    Contributors:


    Publication date :

    2004


    Size :

    4 Seiten, 4 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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